{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T15:02:42Z","timestamp":1783954962755,"version":"3.55.0"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2026,3,15]],"date-time":"2026-03-15T00:00:00Z","timestamp":1773532800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,3,15]],"date-time":"2026-03-15T00:00:00Z","timestamp":1773532800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,3,15]],"date-time":"2026-03-15T00:00:00Z","timestamp":1773532800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62572065"],"award-info":[{"award-number":["62572065"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62136006"],"award-info":[{"award-number":["62136006"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Key Research and Development Program","doi-asserted-by":"publisher","award":["2024YFB2906500"],"award-info":[{"award-number":["2024YFB2906500"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2026,3,15]]},"DOI":"10.1109\/jiot.2026.3651286","type":"journal-article","created":{"date-parts":[[2026,1,12]],"date-time":"2026-01-12T22:02:44Z","timestamp":1768255364000},"page":"12557-12571","source":"Crossref","is-referenced-by-count":1,"title":["Position Encoding-Enhanced Adaptive Expansion Graph Attention Network for Anomaly Detection in Multivariate Time Series"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-8376-1500","authenticated-orcid":false,"given":"Xiaoyu","family":"Zhang","sequence":"first","affiliation":[{"name":"Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1033-164X","authenticated-orcid":false,"given":"Xiaofeng","family":"Lu","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2151-5420","authenticated-orcid":false,"given":"Yaru","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0540-5053","authenticated-orcid":false,"given":"Pietro","family":"Lio","sequence":"additional","affiliation":[{"name":"Computer Laboratory, University of Cambridge, Cambridge, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0848-2599","authenticated-orcid":false,"given":"Pan","family":"Hui","sequence":"additional","affiliation":[{"name":"Computational Media and Arts Thrust, Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2024.3523542"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.107217"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3055366.3055375"},{"key":"ref4","article-title":"Time-EAPCR: A deep learning-based novel approach for anomaly detection applied to the environmental field","author":"Liu","year":"2025"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/S0360-8352(98)00066-7"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1002\/wics.101"},{"issue":"2","key":"ref7","first-page":"139","article-title":"One-class svms for document classification","volume":"2","author":"Manevitz","year":"2002","journal-title":"J. Mach. Learn. Res."},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-022-08120-5"},{"key":"ref9","article-title":"Recurrent neural network regularization","author":"Zaremba","year":"2014","journal-title":"arXiv:1409.2329"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s12145-023-01212-3"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3268199"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16523"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3325667"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403118"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9747274"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2022.08.011"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2023.3347000"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3221989"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.124922"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2024.102357"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-023-05260-2"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-024-11044-2"},{"key":"ref24","first-page":"57947","article-title":"MEMTO: Memory-guided transformer for multivariate time series anomaly detection","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Song"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.14778\/3514061.3514067"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2024.111849"},{"key":"ref27","article-title":"Research and application of transformer based anomaly detection model: A literature review","author":"Ma","year":"2024","journal-title":"arXiv:2402.08975"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3211306"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2023.09.028"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM50108.2020.00093"},{"key":"ref31","article-title":"Multivariate time series anomaly detection via dynamic graph forecasting","author":"Chen","year":"2023","journal-title":"arXiv:2302.02051"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i4.25623"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.14778\/3641204.3641217"},{"key":"ref34","article-title":"A survey of graph neural networks in real world: Imbalance, noise, privacy and OOD challenges","author":"Ju","year":"2024","journal-title":"arXiv:2403.04468"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2022.109384"},{"key":"ref36","article-title":"A time series is worth 64 words: Long-term forecasting with transformers","author":"Nie","year":"2022","journal-title":"arXiv:2211.14730"},{"key":"ref37","first-page":"12081","article-title":"Novel positional encodings to enable tree-based transformers","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Shiv"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2017.08.242"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/264"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CySWater.2016.7469060"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330672"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2010.2043918"},{"key":"ref43","volume-title":"Discrete-Time Signal Processing","author":"Oppenheim","year":"1999"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2018.2801475"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i7.20680"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.net.2023.11.033"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3105827"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2025.3596745"},{"key":"ref50","article-title":"Robust multivariate time series anomaly detection via conditional normalizing flow with patch embedding and cross time attention","author":"Chen","year":"2025","journal-title":"Auto. Transp. Res."},{"key":"ref51","article-title":"Pathformer: Multi-scale transformers with adaptive pathways for time series forecasting","author":"Chen","year":"2024","journal-title":"arXiv:2402.05956"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.52202\/079017-0015"},{"key":"ref53","article-title":"Sensorformer: Cross-patch attention with global-patch compression is effective for high-dimensional multivariate time series forecasting","author":"Qin","year":"2025","journal-title":"arXiv:2501.03284"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6488907\/11424034\/11333344.pdf?arnumber=11333344","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T20:00:40Z","timestamp":1773086440000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11333344\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,15]]},"references-count":53,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2026.3651286","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3,15]]}}}